// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {
using npu_preparation = at_npu::native::OpPreparation;

static at::Tensor& addmv_out_op_api(const at::Tensor& self, const at::Tensor& mat, const at::Tensor& vec,
                                    const at::Scalar& beta, const at::Scalar& alpha, at::Tensor& result) {
  int8_t cube_math_type = 1;
  EXEC_NPU_CMD(aclnnAddmv, self, mat, vec, alpha, beta, result, cube_math_type);
  return result;
}

at::Tensor& addmv_out(const at::Tensor& self, const at::Tensor& mat, const at::Tensor& vec, const at::Scalar& beta,
                      const at::Scalar& alpha, at::Tensor& result) {
  DO_COMPATIBILITY(aclnnAddmv, acl_op::addmv_out(self, mat, vec, beta, alpha, result));
  auto output_size = op_infer::addmv_npu_output_size(self, mat, vec, beta, alpha);
  if (!result.sizes().equals(output_size)) {
    result.resize_(output_size);
  }
  addmv_out_op_api(self, mat, vec, beta, alpha, result);
  return result;
}

at::Tensor addmv(const at::Tensor& self, const at::Tensor& mat, const at::Tensor& vec, const at::Scalar& beta,
                 const at::Scalar& alpha) {
  DO_COMPATIBILITY(aclnnAddmv, acl_op::addmv(self, mat, vec, beta, alpha));
  auto output_size = op_infer::addmv_npu_output_size(self, mat, vec, beta, alpha);
  at::Tensor result = npu_preparation::apply_tensor_without_format(self, output_size);
  addmv_out_op_api(self, mat, vec, beta, alpha, result);
  return result;
}

at::Tensor& addmv_(at::Tensor& self, const at::Tensor& mat, const at::Tensor& vec, const at::Scalar& beta,
                   const at::Scalar& alpha) {
  DO_COMPATIBILITY(aclnnAddmv, acl_op::addmv_(self, mat, vec, beta, alpha));
  npu_preparation::check_memory({self, mat, vec}, {self});
  addmv_out_op_api(self, mat, vec, beta, alpha, self);
  return self;
}
}  // namespace op_api
